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Yan1205
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URKL_Motion

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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 270 new columns ({'1.0.20', '1683782000.0.76', '1683782000.0.47', '1.0.18', '0.0.69', '1683782000.0.43', '1.0.7', '1.0.14', '1683782000.0.10', '1.0.19', '0.0.48', '0.0.33', '1683782000.0.5', '1683782000.0.15', '1683782000.0.69', '1683782000.0.63', '1.0.68', '1683782000.0.34', '0.0.23', '0.0.37', '1.0.57', '1683782000.0.64', '1683782000.0.83', '0.0.6', '0.0.24', '1683782000.0.2', '0.0.85', '0.0.54', '1683782000.0.40', '1683782000.0.36', '0.0.64', '1.0.2', '0.0.18', '0.0.51', '1683782000.0.23', '1.0.24', '0.0.30', '1.0.42', '0.0.16', '1683782000.0.16', '1683782000.0.37', '1683782000.0.6', '0.0.56', '1683782000.0.66', '0.0.34', '1.0.17', '1683782000.0.81', '1.0.47', '1683782000.0.55', '0.0.43', '1.0.51', '1.0.53', '1683782000.0.8', '1.0.10', '1.0.35', '1683782000.0.46', '1683782000.0.25', '0.0.78', '1683782000.0', '1683782000.0.89', '1683782000.0.59', '1.0.69', '1683782000.0.17', '1.0.41', '1683782000.0.26', '1.0.88', '0.0.79', '0.0.81', '0.0.1', '0.0.66', '1.0.71', '0.0.22', '0.0.67', '1683782000.0.22', '0.0.39', '1.0.59', '0.0.26', '1.0.74', '0.0.74', '0.0.76', '1683782000.0.32', '0.0.53', '1.0.56', '1.0.22', '1.0.81', '1.0.73', '1.0.85', '0.0.7', '0.0.65', '1683782000.0.72', '0.0.40', '0.0.73', '0.0.83', '1683782000.0.87', '0.0.9', '1683782000.0.50', '1683782000.0.60', '0.0.61', '1.0.9', '1683782000.0.7', '1.0.30', '0.0.80', '1683782000.0.49', '1683782000.0.70', '1683782000.0.65', '1683782000.0.51', '1683782000.0.24', '0.0.32', '0.0.11', '0.0.63', '1.0.46', '0.0.42', '1.0.25', '1.0.80', '1.0.
...
.28', '1.0.37', '1683782000.0.74', '1683782000.0.86', '0.0.5', '1683782000.0.30', '1.0.75', '0.0.77', '1683782000.0.45', '1.0.89', '0.0.45', '1.0.72', '1.0.8', '1.0.28', '0.0.88', '0.0.72', '0.0.71', '1.0.16', '1.0.84', '1.0.44', '1683782000.0.29', '0.0.8', '1.0.61', '1.0.36', '0.0.44', '1.0.27', '1.0.52', '0.0.68', '1.0.11', '1683782000.0.42', '1683782000.0.19', '1683782000.0.31', '1.0.1', '1.0.62', '1.0.58', '1683782000.0.80', '1683782000.0.56', '1.0.31', '0.0.62', '0.0.15', '1.0.67', '1.0.15', '0.0.84', '1.0.23', '1.0.34', '1683782000.0.61', '1683782000.0.73', '1683782000.0.1', '0.0.29', '0.0.10', '1683782000.0.68', '1.0.6', '1.0.70', '1683782000.0.21', '1.0.79', '1.0.86', '1683782000.0.14', '0.0.27', '1.0.60', '1.0.64', '1.0.40', '1683782000.0.20', '1.0.5', '1683782000.0.88', '0.0.60', '1683782000.0.38', '1683782000.0.48', '0.0.35', '1683782000.0.77', '1.0.32', '1.0.21', '1683782000.0.79', '0.0.47', '0.0.17', '1.0.13', '1.0.78', '0.0.52', '1683782000.0.84', '1.0', '1.0.33', '0.0.55', '1.0.26', '1.0.45', '1683782000.0.27', '1683782000.0.18', '0.0.14', '0.0.70', '1.0.87', '1683782000.0.41', '0.0.57', '0.0.75', '0.0.21', '1.0.54', '1.0.66', '1683782000.0.13', '0.0.59', '1683782000.0.71', '1683782000.0.4', '0.0.41', '1683782000.0.11', '1.0.3', '0.0.28', '0.0.87', '1.0.63', '0.0.50', '1.0.76', '0.0', '1683782000.0.85', '1.0.48', '1683782000.0.54', '1683782000.0.82', '1683782000.0.78', '0.0.2', '1683782000.0.57', '1.0.12', '1.0.4', '0.0.86', '1683782000.0.62', '1683782000.0.3'}) and 17 missing columns ({'body_position', 'status', 'archive_group', 'source_stem', 'type_of_movement', 'size_bytes', 'uniform_style', 'source_bvh_path', 'package', 'props', 'filename', 'category', 'duration_sec', 'is_mirror', 'mirror_status', 'archive_bvh_path', 'actor_uid'}).

This happened while the csv dataset builder was generating data using

hf://datasets/Yan1205/URKL_Motion/sfu_boxing/dynamic_sample_result.csv (at revision 3065e3cc716428ab7a79da6e6253f4bfab5d3275), ['hf://datasets/Yan1205/URKL_Motion@3065e3cc716428ab7a79da6e6253f4bfab5d3275/SOMA/manifest.csv', 'hf://datasets/Yan1205/URKL_Motion@3065e3cc716428ab7a79da6e6253f4bfab5d3275/sfu_boxing/dynamic_sample_result.csv']

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              1683782000.0: double
              1683782000.0.1: double
              1683782000.0.2: double
              1683782000.0.3: double
              1683782000.0.4: double
              1683782000.0.5: double
              1683782000.0.6: double
              1683782000.0.7: double
              1683782000.0.8: double
              1683782000.0.9: double
              1683782000.0.10: double
              1683782000.0.11: double
              1683782000.0.12: double
              1683782000.0.13: double
              1683782000.0.14: double
              1683782000.0.15: double
              1683782000.0.16: double
              1683782000.0.17: double
              1683782000.0.18: double
              1683782000.0.19: double
              1683782000.0.20: double
              1683782000.0.21: double
              1683782000.0.22: double
              1683782000.0.23: double
              1683782000.0.24: double
              1683782000.0.25: double
              1683782000.0.26: double
              1683782000.0.27: double
              1683782000.0.28: double
              1683782000.0.29: double
              1683782000.0.30: double
              1683782000.0.31: double
              1683782000.0.32: double
              1683782000.0.33: double
              1683782000.0.34: double
              1683782000.0.35: double
              1683782000.0.36: double
              1683782000.0.37: double
              1683782000.0.38: double
              1683782000.0.39: double
              1683782000.0.40: double
              1683782000.0.41: double
              1683782000.0.42: double
              1683782000.0.43: double
              1683782000.0.44: double
              1683782000.0.45: double
              1683782000.0.46: double
              1683782000.0.47: double
              1683782000.0.48: double
              1683782000.0.49: double
              1683782000.0.50: double
              1683782000.0.51: double
              1683782000.0.52: double
              1683782000.0.53: double
              1683782000.0.54: double
              1683782000.0.55: double
              1683782000.0.56: double
              1683782000.0.57: double
              1683782000.0.58: double
              1683782000.0.59: double
              1683782000.0.60: double
              1683782000.0.61: double
              1683782000.0.62: double
              
              ...
              0.86: double
              0.0.87: double
              0.0.88: double
              0.0.89: double
              1.0: double
              1.0.1: double
              1.0.2: double
              1.0.3: double
              1.0.4: double
              1.0.5: double
              1.0.6: double
              1.0.7: double
              1.0.8: double
              1.0.9: double
              1.0.10: double
              1.0.11: double
              1.0.12: double
              1.0.13: double
              1.0.14: double
              1.0.15: double
              1.0.16: double
              1.0.17: double
              1.0.18: double
              1.0.19: double
              1.0.20: double
              1.0.21: double
              1.0.22: double
              1.0.23: double
              1.0.24: double
              1.0.25: double
              1.0.26: double
              1.0.27: double
              1.0.28: double
              1.0.29: double
              1.0.30: double
              1.0.31: double
              1.0.32: double
              1.0.33: double
              1.0.34: double
              1.0.35: double
              1.0.36: double
              1.0.37: double
              1.0.38: double
              1.0.39: double
              1.0.40: double
              1.0.41: double
              1.0.42: double
              1.0.43: double
              1.0.44: double
              1.0.45: double
              1.0.46: double
              1.0.47: double
              1.0.48: double
              1.0.49: double
              1.0.50: double
              1.0.51: double
              1.0.52: double
              1.0.53: double
              1.0.54: double
              1.0.55: double
              1.0.56: double
              1.0.57: double
              1.0.58: double
              1.0.59: double
              1.0.60: double
              1.0.61: double
              1.0.62: double
              1.0.63: double
              1.0.64: double
              1.0.65: double
              1.0.66: double
              1.0.67: double
              1.0.68: double
              1.0.69: double
              1.0.70: double
              1.0.71: double
              1.0.72: double
              1.0.73: double
              1.0.74: double
              1.0.75: double
              1.0.76: double
              1.0.77: double
              1.0.78: double
              1.0.79: double
              1.0.80: double
              1.0.81: double
              1.0.82: double
              1.0.83: double
              1.0.84: double
              1.0.85: double
              1.0.86: double
              1.0.87: double
              1.0.88: double
              1.0.89: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 32336
              to
              {'archive_group': Value('string'), 'mirror_status': Value('string'), 'filename': Value('string'), 'source_stem': Value('string'), 'source_bvh_path': Value('string'), 'archive_bvh_path': Value('string'), 'package': Value('string'), 'category': Value('string'), 'type_of_movement': Value('string'), 'body_position': Value('string'), 'uniform_style': Value('string'), 'props': Value('int64'), 'duration_sec': Value('float64'), 'actor_uid': Value('string'), 'is_mirror': Value('bool'), 'status': Value('string'), 'size_bytes': Value('int64')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 270 new columns ({'1.0.20', '1683782000.0.76', '1683782000.0.47', '1.0.18', '0.0.69', '1683782000.0.43', '1.0.7', '1.0.14', '1683782000.0.10', '1.0.19', '0.0.48', '0.0.33', '1683782000.0.5', '1683782000.0.15', '1683782000.0.69', '1683782000.0.63', '1.0.68', '1683782000.0.34', '0.0.23', '0.0.37', '1.0.57', '1683782000.0.64', '1683782000.0.83', '0.0.6', '0.0.24', '1683782000.0.2', '0.0.85', '0.0.54', '1683782000.0.40', '1683782000.0.36', '0.0.64', '1.0.2', '0.0.18', '0.0.51', '1683782000.0.23', '1.0.24', '0.0.30', '1.0.42', '0.0.16', '1683782000.0.16', '1683782000.0.37', '1683782000.0.6', '0.0.56', '1683782000.0.66', '0.0.34', '1.0.17', '1683782000.0.81', '1.0.47', '1683782000.0.55', '0.0.43', '1.0.51', '1.0.53', '1683782000.0.8', '1.0.10', '1.0.35', '1683782000.0.46', '1683782000.0.25', '0.0.78', '1683782000.0', '1683782000.0.89', '1683782000.0.59', '1.0.69', '1683782000.0.17', '1.0.41', '1683782000.0.26', '1.0.88', '0.0.79', '0.0.81', '0.0.1', '0.0.66', '1.0.71', '0.0.22', '0.0.67', '1683782000.0.22', '0.0.39', '1.0.59', '0.0.26', '1.0.74', '0.0.74', '0.0.76', '1683782000.0.32', '0.0.53', '1.0.56', '1.0.22', '1.0.81', '1.0.73', '1.0.85', '0.0.7', '0.0.65', '1683782000.0.72', '0.0.40', '0.0.73', '0.0.83', '1683782000.0.87', '0.0.9', '1683782000.0.50', '1683782000.0.60', '0.0.61', '1.0.9', '1683782000.0.7', '1.0.30', '0.0.80', '1683782000.0.49', '1683782000.0.70', '1683782000.0.65', '1683782000.0.51', '1683782000.0.24', '0.0.32', '0.0.11', '0.0.63', '1.0.46', '0.0.42', '1.0.25', '1.0.80', '1.0.
              ...
              .28', '1.0.37', '1683782000.0.74', '1683782000.0.86', '0.0.5', '1683782000.0.30', '1.0.75', '0.0.77', '1683782000.0.45', '1.0.89', '0.0.45', '1.0.72', '1.0.8', '1.0.28', '0.0.88', '0.0.72', '0.0.71', '1.0.16', '1.0.84', '1.0.44', '1683782000.0.29', '0.0.8', '1.0.61', '1.0.36', '0.0.44', '1.0.27', '1.0.52', '0.0.68', '1.0.11', '1683782000.0.42', '1683782000.0.19', '1683782000.0.31', '1.0.1', '1.0.62', '1.0.58', '1683782000.0.80', '1683782000.0.56', '1.0.31', '0.0.62', '0.0.15', '1.0.67', '1.0.15', '0.0.84', '1.0.23', '1.0.34', '1683782000.0.61', '1683782000.0.73', '1683782000.0.1', '0.0.29', '0.0.10', '1683782000.0.68', '1.0.6', '1.0.70', '1683782000.0.21', '1.0.79', '1.0.86', '1683782000.0.14', '0.0.27', '1.0.60', '1.0.64', '1.0.40', '1683782000.0.20', '1.0.5', '1683782000.0.88', '0.0.60', '1683782000.0.38', '1683782000.0.48', '0.0.35', '1683782000.0.77', '1.0.32', '1.0.21', '1683782000.0.79', '0.0.47', '0.0.17', '1.0.13', '1.0.78', '0.0.52', '1683782000.0.84', '1.0', '1.0.33', '0.0.55', '1.0.26', '1.0.45', '1683782000.0.27', '1683782000.0.18', '0.0.14', '0.0.70', '1.0.87', '1683782000.0.41', '0.0.57', '0.0.75', '0.0.21', '1.0.54', '1.0.66', '1683782000.0.13', '0.0.59', '1683782000.0.71', '1683782000.0.4', '0.0.41', '1683782000.0.11', '1.0.3', '0.0.28', '0.0.87', '1.0.63', '0.0.50', '1.0.76', '0.0', '1683782000.0.85', '1.0.48', '1683782000.0.54', '1683782000.0.82', '1683782000.0.78', '0.0.2', '1683782000.0.57', '1.0.12', '1.0.4', '0.0.86', '1683782000.0.62', '1683782000.0.3'}) and 17 missing columns ({'body_position', 'status', 'archive_group', 'source_stem', 'type_of_movement', 'size_bytes', 'uniform_style', 'source_bvh_path', 'package', 'props', 'filename', 'category', 'duration_sec', 'is_mirror', 'mirror_status', 'archive_bvh_path', 'actor_uid'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Yan1205/URKL_Motion/sfu_boxing/dynamic_sample_result.csv (at revision 3065e3cc716428ab7a79da6e6253f4bfab5d3275), ['hf://datasets/Yan1205/URKL_Motion@3065e3cc716428ab7a79da6e6253f4bfab5d3275/SOMA/manifest.csv', 'hf://datasets/Yan1205/URKL_Motion@3065e3cc716428ab7a79da6e6253f4bfab5d3275/sfu_boxing/dynamic_sample_result.csv']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

archive_group
string
mirror_status
string
filename
string
source_stem
string
source_bvh_path
string
archive_bvh_path
string
package
string
category
string
type_of_movement
string
body_position
string
uniform_style
string
props
int64
duration_sec
float64
actor_uid
string
is_mirror
bool
status
string
size_bytes
int64
dance
mirror
egipt_dance_R_001__A097_M
egipt_dance_R_001
/home/limx/data/seed/soma_uniform/bvh/230103/egipt_dance_R_001__A097_M.bvh
dance/mirror/230103/egipt_dance_R_001__A097_M.bvh
Dances
Dancing
dancing
standing
neutral
0
6.175
A097
true
copied
1,774,106
dance
mirror
egipt_dance_R_001__A098_M
egipt_dance_R_001
/home/limx/data/seed/soma_uniform/bvh/230103/egipt_dance_R_001__A098_M.bvh
dance/mirror/230103/egipt_dance_R_001__A098_M.bvh
Dances
Dancing
dancing
standing
neutral
0
4.1333
A098
true
copied
1,187,130
dance
mirror
egipt_dance_R_002__A097_M
egipt_dance_R_002
/home/limx/data/seed/soma_uniform/bvh/230103/egipt_dance_R_002__A097_M.bvh
dance/mirror/230103/egipt_dance_R_002__A097_M.bvh
Dances
Dancing
dancing
standing
neutral
0
5.825
A097
true
copied
1,671,272
dance
mirror
egipt_dance_R_002__A098_M
egipt_dance_R_002
/home/limx/data/seed/soma_uniform/bvh/230103/egipt_dance_R_002__A098_M.bvh
dance/mirror/230103/egipt_dance_R_002__A098_M.bvh
Dances
Dancing
dancing
standing
neutral
0
4.5917
A098
true
copied
1,319,265
dance
mirror
egipt_dance_R_003__A097_M
egipt_dance_R_003
/home/limx/data/seed/soma_uniform/bvh/230103/egipt_dance_R_003__A097_M.bvh
dance/mirror/230103/egipt_dance_R_003__A097_M.bvh
Dances
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dance_basic_chaines_180_R_fast_002__A306_M
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dance_basic_chaines_270_R_002__A306_M
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dance_basic_chaines_270_R_fast_001__A306_M
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dance_basic_chaines_270_R_fast_001__A307_M
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dance_basic_chaines_270_R_fast_002__A306_M
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dance_basic_chaines_270_R_fast_002__A307_M
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dance_basic_chaines_306_R_001__A306_M
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dance_basic_chaines_306_R_001__A307_M
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dance_basic_chaines_306_R_002__A306_M
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dance_basic_chaines_306_R_fast_001__A306_M
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dance_basic_chaines_306_R_fast_001__A307_M
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End of preview.

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

Dataset 目录说明

本目录用于存放训练、评估和重定向相关的数据集资源。

为什么默认不提交到主仓库

  • 数据体积大，直接提交会显著增加仓库体积，影响克隆和拉取速度。
  • 频繁更新大文件会使 Git 历史快速膨胀，不利于协作和 CI。
  • 团队协作时更推荐将数据与代码解耦管理。

当前目录用途

  • AMASS/：动作数据来源（原始或中间处理版本）。
  • cmu_boxing/：CMU Boxing 相关数据与说明。
  • retarget_source_preview_v1/：重定向源数据预览与清单。
  • RoboStriker/：RoboStriker 相关 npz 数据。
  • sfu_boxing/：SFU Boxing 数据。
  • SOMA/：SOMA 数据与衍生文件。

推荐的数据管理方式

  1. 主仓库保留：代码、配置、脚本、清单（manifest）和文档。
  2. 大体积数据放在：对象存储（S3/OSS）、网盘、或 Git LFS 专用仓库。
  3. 使用脚本下载：在 scripts/ 中提供一键下载与校验（hash）脚本。

建议的最小规范

  • 为每个子数据集提供：来源、版本、许可证、校验信息。
  • 使用统一命名与目录结构，避免重复副本。
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